Add QECops - Python Simulator for analyzing noise model sensitivity on logical error rates in QEC repetition codes#115
Open
JitheshMithra wants to merge 1 commit into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
QECops is a Python simulator for analyzing noise model sensitivity on logical error rates in QEC repetition codes. The current list lacks a dedicated QEC simulation tool focused on noise model comparison and threshold analysis. QECops fills this gap by simulating four distinct noise models (bitflip, depolarizing, biased, correlated) with pseudo-threshold estimation, bootstrap confidence intervals, and analytical validation against exact binomial predictions. Runs from a simple command line interface with no institutional access required. Results export as PNG, interactive HTML, CSV, and JSON. Fully reproducible with fixed seed. MIT licensed, actively maintained at v2, with a published technical report (DOI via Zenodo).
https://github.com/JitheshMithra/QECops
https://doi.org/10.5281/zenodo.19410366
Fits alphabetically under Development Tools between QCL and Qiskit SDK